检索结果-南通市图书馆

Mutation Prediction for Coronaviruses Using Genome Sequence and Recurrent Neural Networks

Computers, Materials & Continua 2022年第10期73卷 1601-1619页

作者： Pranav Pushkar Christo Ananth Preeti Nagrath Jehad F.Al-Amri Vividha Anand Nayyar Bharati Vidyapeeth’s College of Engineering New Delhi110063India Department of Natural and Exact Sciences Samarkand State UniversitySamarkandUzbekistan Graduate School Duy Tan UniversityDa Nang550000Viet Nam Faculty of Information Technology Duy Tan UniversityDa Nang550000Viet Nam Department of Information Technology College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia

The study of viruses and their genetics has been an opportunity as well as a challenge for the scientific *** recent ongoing SARSCov2(Severe Acute Respiratory Syndrome)pandemic proved the unpreparedness for these *** only the countermeasures for the effect caused by virus need to be tackled but the mutation taking place in the very genome of the virus is needed to be kept in check *** major way to find out more information about such pathogens is by extracting the genetic data of such *** genetic data of viruses have been cultured and stored as well as isolated in form of their genome sequences,there is still limited methods on what new viruses can be generated in future due to *** research proposes a deep learning model to predict the genome sequences of the SARS-Cov2 virus using only the previous viruses of the coronaviridae family with the help of RNN-LSTM(Recurrent Neural Network-Long ShortTerm Memory)and RNN-GRU(Gated Recurrent Unit)so that in the future,several counter measures can be taken by predicting possible changes in the genome with the help of existing mutations in the *** the process of testing the model,the F1-recall came out to be more than *** mutation detection’s accuracy of both the models come out about 98.5%which shows the capability of the recurrent neural network to predict future changes in the genome of virus.

关键词： COVID-19 genome sequence coronaviridae RNN-LSTM RNN-GRU

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

The emerging roles of retromer and sorting nexins in the life cycle of viruses

引用

Virologica Sinica 2022年第3期37卷 321-330页

作者： Yue Lu Ping He Yuxuan Zhang Yongwen Ren Leiliang Zhang Department of Clinical Laboratory Medicine The First Affiliated Hospital of Shandong First Medical University&Shandong Provincial Qianfoshan HospitalJinan250013China Department of Pathogen Biology School of Basic Medical SciencesShandong First Medical University&Shandong Academy of Medical SciencesJinan250117China Medical Science and Technology Innovation Center Shandong First Medical University&Shandong Academy of Medical SciencesJinan250117China

Retromer and sorting nexins(SNXs)transport cargoes from endosomes to the trans-Golgi network or plasma *** studies have unveiled the emerging roles for retromer and SNXs in the life cycle of viruses,including members of coronaviridae,Flaviviridae and *** components of retromer/SNXs,such as Vps35,Vps26,SNX5 and SNX27,can affect multiple steps of the viral life cycle,including facilitating the entry of viruses into cells,participating in viral replication,and promoting the assembly of *** we present a comprehensive updated review on the interplay between retromer/SNXs and virus,which will shed mechanistic insights into controlling virus infection.

关键词： Retromer coronaviridae Flaviviridae Retroviridae Sorting nexin(SNX)

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：